The Clearinghouse on Assessment and Evaluation (Ericae.net) is a comprehensive online resource dedicated to advancing knowledge in educational assessment, evaluation, and research methodology. Whether you are a student, educator, researcher, or policymaker, Ericae provides the tools, insights, and guidance needed to understand how learning is measured—and how those measurements can be used to improve outcomes.
At its core, Ericae is built to bridge the gap between theory and practice. You’ll find foundational content that explains essential concepts like validity, reliability, and different types of assessment, alongside more advanced material covering psychometrics, data analysis, and research design. For those actively working in education, the site also offers practical strategies for classroom assessment, program evaluation, and data-driven decision-making.
Ericae goes beyond traditional content by serving as a true resource hub. Visitors can explore curated reading paths through the Assessment Library, access peer-reviewed research from the Practical Assessment, Research & Evaluation (PARE) journal, and utilize tools like the Test Locator and ERIC database guides to find high-quality academic resources. Downloadable templates, rubrics, and evaluation tools are also available to support real-world application.
As education continues to evolve, Ericae remains focused on the future—covering topics like digital assessment, artificial intelligence, equity in measurement, and responsible data use. The goal is not just to inform, but to empower users to make better decisions, design better assessments, and contribute to more effective and equitable educational systems.
Whether you’re just getting started or looking to deepen your expertise, Ericae is your trusted guide to understanding and improving educational assessment and evaluation.
Common Threats to Validity in Experiments
Learn common threats to validity in experiments and how to avoid weak conclusions so your research findings stay accurate, credible, and useful.
External Validity in Quantitative Studies
Learn why external validity in quantitative studies matters in education and how to judge whether research findings apply in real classrooms.
Internal Validity in Quantitative Research
Learn what internal validity in quantitative research means and how to judge whether a study’s findings support real cause-and-effect conclusions.
Control Groups in Educational Research
Learn how control groups in educational research reveal whether interventions truly improve learning, behavior, and school outcomes.
Independent vs. Dependent Variables Explained
Learn independent and dependent variables clearly so you can understand research methods, design stronger studies, and draw confident conclusions.
Randomized Controlled Trials (RCTs) in Education
Learn how Randomized Controlled Trials (RCTs) in education reveal what truly improves teaching, programs, and student outcomes.
Differences Between Experimental and Quasi-Experimental Research
Learn the key differences between experimental and quasi-experimental research so you can choose stronger study designs with confidence.
Quasi-Experimental Design: What You Need to Know
Learn how quasi-experimental design helps researchers estimate cause and effect in real classrooms when random assignment is not possible.
What Is an Experimental Research Design?
Learn what experimental research design means, how it tests cause and effect, and how to use it to evaluate interventions in education.
Key Features of True Experimental Design Explained
Learn key features of true experimental design and how it proves cause and effect in research, helping educators make confident, evidence-based decisions.
Understanding Experimental vs. Non-Experimental Research
Understand experimental vs. non-experimental research and learn how each method shapes questions, evidence, and confidence in your conclusions.
What Are Quantitative Research Methods? A Beginner’s Guide
Learn what quantitative research methods are and how they help you collect data, test ideas, and draw clear, reliable conclusions.
Common Misinterpretations of Measurement Error
Measurement error is often misunderstood. Learn the most common mistakes and how clearer thinking can improve research, testing, and decisions.
How to Report Measurement Error in Research Studies
Learn how to report measurement error in research studies clearly, reduce confusion, and make your findings more credible and useful to readers.
Error Analysis in Educational Research
Discover how error analysis in educational research reveals score gaps from true ability, helping you interpret tests, ratings, and results with confidence.